compParmte: Comparison of parameters for time-to-event models

In OnofriAndreaPG/drcte: Statistical Approaches for Time-to-Event Data in Agriculture

Comparison of parameters for time-to-event models

Description

Compare parameters from different assays, either by means of ratios or differences. It is only usable with parametric models

Usage

compParmte(object, strVal, operator = "/", robust = FALSE,
         units = NULL, display = TRUE)

Arguments

object	an object of class 'drcte'
strVal	a name of parameter to compare.
operator	a character. If equal to "/" (default) parameter ratios are compared. If equal to "-" parameter differences are compared.
robust	Logical: if TRUE, robust sandwich standard errors are printed instead of the asymptotic formula. Defaults to TRUE if 'units' or 'type' is given.
units	Optional vector that identifies groups of subjects, used in computing a cluster robust standard error. Like model variables, this is searched for in the dataset pointed to by the data argument.
display	logical. If TRUE results are displayed. Otherwise they are not (useful in simulations).

Details

The function compares actual parameter estimates, and therefore the results depend on the parameterisation used.

Value

A matrix with columns containing the estimates, estimated standard errors, values of t-statistics and p-values for the null hypothesis that the ratio equals 1 or that the difference equals 0 (depending on the operator argument).

Author(s)

Andrea Onofri and Christian Ritz

Examples

data(lotus)
mod <- drmte(count ~ timeBef + timeAf, curveid = Stage,
                fct = loglogistic(), data = lotus,
             upperl = c(NA, 1, NA))
compParmte(mod, "d", robust = TRUE)

OnofriAndreaPG/drcte documentation built on April 14, 2025, 10:44 a.m.